Geospatial raster, vector and stratified validation-point data for peat swamp forest and forest-cover loss screening in the Lac Télé–Likouala-aux-Herbes landscape, Republic of the Congo, 2001–2024

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Authors: Armel Landry Batchi-Bouyou
Cited by: 0

Abstract

This revised dataset contains the geospatial raster, vector, tabular, validation, figure, and metadata outputs supporting the analysis of peat swamp forest and forest-cover loss in the Lac Télé–Likouala-aux-Herbes landscape, Republic of the Congo, 2001–2024. This version adds the reviewer-revision materials, including stratified manual validation outputs, Google Earth visual-validation support files, validation-point tables, confusion matrices, accuracy metrics, area-adjusted estimates, forest-definition sensitivity analyses, annual loss time-series outputs through 2024, expanded metadata, file checksums, and reproducibility documentation. The associated analysis code is archived separately through the GitHub–Zenodo software record.

Fields of Study & Subjects

Conservation Biodiversity and Resource Management Remote Sensing in Agriculture Remote-Sensing Image Classification

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
25 February 2026
Language
EN
Document type
Dataset